Soft Computing in Information Retrieval (Paperback)

Fabio Crestani

ISBN 10: 3790824739 / ISBN 13: 9783790824735

Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Heidelberg, 2010

Beschreibung

Paperback. Information retrieval (IR) aims at defining systems able to provide a fast and effective content-based access to a large amount of stored information. The aim of an IR system is to estimate the relevance of documents to users' information needs, expressed by means of a query. This is a very difficult and complex task, since it is pervaded with imprecision and uncertainty. Most of the existing IR systems offer a very simple model of IR, which privileges efficiency at the expense of effectiveness. A promising direction to increase the effectiveness of IR is to model the concept of "partially intrinsic" in the IR process and to make the systems adaptive, i.e. able to "learn" the user's concept of relevance. To this aim, the application of soft computing techniques can be of help to obtain greater flexibility in IR systems. Information retrieval (IR) aims at defining systems able to provide a fast and effective content-based access to a large amount of stored information. A promising direction to increase the effectiveness of IR is to model the concept of "partially intrinsic" in the IR process and to make the systems adaptive, i.e. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Bestandsnummer des Verkäufers 9783790824735

Bibliografische Details

• Titel: Soft Computing in Information Retrieval (Paperback)
• Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Heidelberg
• Erscheinungsjahr: 2010
• Sprache: Englisch
• ISBN-10: 3790824739
• ISBN-13: 9783790824735
• Einband: Paperback
• Auflage: 1. Auflage
• Zustand: new

Über diesen Titel

Inhaltsangabe

Information retrieval (IR) aims at defining systems able to provide a fast and effective content-based access to a large amount of stored information. The aim of an IR system is to estimate the relevance of documents to users' information needs, expressed by means of a query. This is a very difficult and complex task, since it is pervaded with imprecision and uncertainty. Most of the existing IR systems offer a very simple model of IR, which privileges efficiency at the expense of effectiveness. A promising direction to increase the effectiveness of IR is to model the concept of "partially intrinsic" in the IR process and to make the systems adaptive, i.e. able to "learn" the user's concept of relevance. To this aim, the application of soft computing techniques can be of help to obtain greater flexibility in IR systems.